①David Craver, Co-Chief Investment Officer of Lone Pine Capital, believes that the real returns in the artificial intelligence (AI) sector may just be beginning, and its impact could extend beyond Silicon Valley; ②Craver lists three key signals that keep him optimistic about AI infrastructure: model improvements, capacity constraints, and significant returns for companies deploying AI internally.
A hedge fund investor managing $19 billion in assets has stated that, despite growing unease among investors about a potential bubble in artificial intelligence (AI) stocks, the real returns may just be beginning—and their impact could extend far beyond the usual winners in Silicon Valley.
David Craver, Co-Chief Investment Officer (CIO) of Lone Pine Capital, stated in a recently aired podcast, "This is a generational platform shift. We might be in the third or fourth phase of actual construction."
According to him, while he understands concerns about the massive capital inflows into the artificial intelligence sector, underlying signals – including model improvements, capacity constraints, and impacts on real-world business – indicate that this cycle still has room for further development.
Craver lists three key signals that keep him optimistic about AI infrastructure:
First, as computational power improves, these models continue to get better. He said, "They are indeed becoming more advanced and versatile in application."
Second, he noted that hyperscale data centers and inference service providers still lack sufficient capacity, with demand continuing to outstrip supply.
Third, and most importantly, companies have already achieved significant returns from deploying AI internally.
In summary, Craver remains firmly bullish on AI, believing that the industry is still in its early stages. He even offered a novel perspective: the real bubble might not appear until after OpenAI goes public.
"When everyone thinks it's a bubble, it's not a bubble. It will only become a bubble when we move past this stage, probably when OpenAI and Anthropic go public and AI use cases become ubiquitous in large enterprises. Until then, we still have a long way to go," he added.
"Revenge of the Dinosaurs"
Craver further noted that founders and digital-first CEOs are describing 'staggering' productivity gains driven by AI, ranging from automated coding to replacing manual workflows with AI agents.
"We’ve spoken with several CEOs who said, 'I think I can triple or more my revenue without hiring a single new employee.' That’s where it begins," he added.
Moreover, the AI revolution is about to enter its next phase.
Craver pointed out that the first phase of AI investment focused on infrastructure builders like NVIDIA, and the market is now transitioning to a broader phase contingent on the adoption by large traditional enterprises. This implies that established large companies with strong competitive moats will leverage AI technology to significantly reduce their cost structures.
He said, "I have a thesis I call 'Revenge of the Dinosaurs,' which is that over the next two, three, or even four years, larger companies will adopt this technology and drastically cut their operational costs."
"I think we'll hear CFOs say in their 2027 earnings calls, 'I just slashed annual spending by $500 million because we implemented this new technology,'" he added.
Craver believes this will benefit not only tech stocks but also leading companies in traditional industries such as logistics and manufacturing. If these "dinosaurs" can leverage AI to accomplish what was previously impossible or greatly enhance efficiency, they will achieve remarkable profit growth. This is not just a story about infrastructure; it’s about the dividends brought by the diffusion of technology across all industries.
"In my view, this transformation is extremely bullish for the market," he concluded.
Editor/Doris
